Statistical Methods for handling missing data
Jae-Kwang Kim, Iowa State University
SSC 2023 Annual meeting
May 28, 2023
Ottawa
From Sample Surveys to Missing Data and Causal Inference
Changbao Wu, University of Waterloo
SSC 2022 Annual meeting
June 4, 2022
Virtual
Introduction to Big Data and Machine Learning for Survey Researchers
Trent Buskirk, Bowling Green State University
SSC 2021 Annual meeting
June 12, 2021
Virtual
When Some Data is Missing: Foundation of Imputation Theory and Recent Developments in the Field
David Haziza, University of Montreal
SSC 2019 Annual meeting
May 26, 2019
Calgary, AB
Statistical Modeling in Survey Sampling: Some Solutions to Ever Increasing Demand for Reliable Data
Gauri S. Datta, University of Georgia and US Census Bureau
SSC 2018 Annual meeting
June 3, 2018
Montreal, QC
Disclosure Control Methods
Mark Stinner, Statistics Canada
SSC 2017 Annual meeting,
June 11, 2017
Winnipeg, MB
Bridging the gap: Turning classical statistics experience directly into a working knowledge of survey data analysis
Claude Girard, Statistics Canada
SSC 2016 Annual meeting,
May 29, 2016
St. Catharines, ON
Record Linkage Methods: Theory and Application
Abdelnasser Saïdi, Statistics Canada
SSC 2015 Annual meeting,
June 14, 2015
Halifax, NS
Applied Survey Data Analysis
Steven Heeringa, University of Michigan
SSC 2014 Annual meeting,
May 25, 2014
Toronto, ON